Annotation schema for legal doctrine: a case study on DoGi database

• Autores: Tommaso Agnoloni, Elisabetta Marinai, Ginevra Peruginelli, Daniela Tiscornia, Maria Teresa Sagri
• Localización: JLIS.it: Italian Journal of Library, Archives and Information Science. Rivista italiana di biblioteconomia, archivistica e scienza dell'informazione, ISSN-e 2038-1026, Vol. 4, Nº. Extra 1, 2013 (Ejemplar dedicado a: Global Interoperability and Linked Data in Libraries: Special issue)
• Idioma: inglés
• Títulos paralelos:
  • Schema di annotazione per la dottrina giuridica: il caso di studio della banca dati DoGi‑Dottrina Giuridica
• Enlaces
  • Texto completo (pdf)
• Resumen

  • Interoperability today is the key term for the enhancement of databases published on the web: the data, when isolated, have little value, on the contrary, their value increases significantly when different datasets, produced and published independently by different providers, can be reused and freely mashed by third parties. The use of data for new purposes not foreseen by organizations and individuals who publish "raw data" is one of the advantages of linked open data model. To achieve these benefits content and relationships between the entities described in the dataset should be explicitly represented in standard web formats (XML, RDF, URI). The DoGi-Legal Literature database, one of the most valuable sources for online access to legal doctrine, created and managed by the Institute of Legal Information Theory and Techniques of the CNR is following this direction. This paper will define the schema of the data representing the database in RDF format. This will make the DoGi database interoperable between different data and service providers (libraries, publishers, information services for accessing national and European legal information), allowing the creation of new advanced services to be made available on the web of data. In particular, the contribution will focus on the goal to promote semantic interoperability between the DoGi classification schema and other semantic indexing tools in legal domain.